📋 Input Data Format

The system accepts 30 numerical features extracted from digitized images of breast mass FNA:

• Mean values (10 features): radius, texture, perimeter, area, smoothness, compactness, concavity, concave points, symmetry, fractal dimension
• Standard error (10 features): Same measurements with "_se" suffix
• Worst values (10 features): Largest values with "_worst" suffix

📊 API Endpoints

• /predict - Single patient prediction
• /predict_batch - Batch CSV upload
• /model_info - Model metadata and statistics
• /health - System health check

💾 CSV Format for Batch Upload

CSV files should contain all 30 features as columns. The system will process each row as a separate case and return comprehensive results for all samples.

🔒 Data Protection

We take your privacy seriously. MediScan AI is designed with privacy-first principles:

• No Data Storage: Patient data is processed in real-time and not stored on our servers
• Secure Processing: All data transmission uses industry-standard encryption
• Anonymization: We recommend removing personal identifiers before upload
• Local Processing: The model runs on our secure servers with no third-party data sharing

👤 User Responsibility

Healthcare providers are responsible for:

• Obtaining proper patient consent before using this tool
• Ensuring compliance with local healthcare data regulations (HIPAA, GDPR, etc.)
• Using results as supportive information, not sole diagnostic criteria